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dc.rights.licenseAtribución-NoComercial 4.0 Internacional
dc.contributor.authorCifuentes, María Victoria
dc.contributor.authorCorrales Bossio, Martha Lucía
dc.contributor.authorZarate, Héctor
dc.contributor.authorCepeda Cuervo, Edilberto
dc.date.accessioned2019-06-25T18:47:57Z
dc.date.available2019-06-25T18:47:57Z
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/20882
dc.description.abstractIn this paper we propose a new residuals for gamma regression models, assuming that both mean and shape parameters, follow regression structures. The models are summarized and fitted by applying both classic and Bayesian methods as proposed by Cepeda-Cuervo. The residuals are proposed from properties of the biparametric exponential family of distributions and simulated and real data sets are analyzed to determine the performance and behavior of the proposed residuals.
dc.format.mimetypeapplication/pdf
dc.language.isospa
dc.relation.ispartofUniversidad Nacional de Colombia Sede Bogotá Facultad de Ciencias Departamento de Estadística
dc.relation.ispartofDepartamento de Estadística
dc.rightsDerechos reservados - Universidad Nacional de Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subject.ddc51 Matemáticas / Mathematics
dc.titleOn gamma regression residuals
dc.typeDocumento de trabajo
dc.type.driverinfo:eu-repo/semantics/workingPaper
dc.type.versioninfo:eu-repo/semantics/draft
dc.identifier.eprintshttp://bdigital.unal.edu.co/11551/
dc.relation.referencesCifuentes, María Victoria and Corrales Bossio, Martha Lucía and Zarate, Héctor and Cepeda Cuervo, Edilberto On gamma regression residuals. Reporte técnico. Sin Definir. (No publicado)
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.subject.proposalGamma regression
dc.subject.proposalFisher scoring algorithm
dc.subject.proposalBayesian estimation, residuals.
dc.type.coarhttp://purl.org/coar/resource_type/c_8042
dc.type.coarversionhttp://purl.org/coar/version/c_b1a7d7d4d402bcce
dc.type.contentText
dc.type.redcolhttp://purl.org/redcol/resource_type/WP
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2


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Atribución-NoComercial 4.0 InternacionalThis work is licensed under a Creative Commons Reconocimiento-NoComercial 4.0.This document has been deposited by the author (s) under the following certificate of deposit